Automated labeling of bibliographic data extracted from biomedical online journals

13 January 2003 Automated labeling of bibliographic data extracted from biomedical online journals

Jongwoo Kim, Daniel X. Le, George R. Thoma

Proceedings Volume 5010, Document Recognition and Retrieval X; (2003) https://doi.org/10.1117/12.476047
Event: Electronic Imaging 2003, 2003, Santa Clara, CA, United States

Abstract

A prototype system has been designed to automate the extraction of bibliographic data (e.g., article title, authors, abstract, affiliation and others) from online biomedical journals to populate the National Library of Medicine’s MEDLINE database. This paper describes a key module in this system: the labeling module that employs statistics and fuzzy rule-based algorithms to identify segmented zones in an article’s HTML pages as specific bibliographic data. Results from experiments conducted with 1,149 medical articles from forty-seven journal issues are presented.

Citation Download Citation

Jongwoo Kim, Daniel X. Le, and George R. Thoma "Automated labeling of bibliographic data extracted from biomedical online journals", Proc. SPIE 5010, Document Recognition and Retrieval X, (13 January 2003); https://doi.org/10.1117/12.476047

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